Futuristic Trends in Numerical Relaying for Transmission Line Protections (eBook)
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2020
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1. Auflage
XXI, 146 Seiten
Springer Singapore (Verlag)
978-981-15-8465-7 (ISBN)
XXI, 146 Seiten
Springer Singapore (Verlag)
978-981-15-8465-7 (ISBN)
This book presents the state-of-the-art approach for transmission line protection schemes for smart power grid. It provides a comprehensive solution for real-time development of numerical relaying schemes for future power grids which can minimize cascade tripping and widespread blackout problems prevailing all around the world. The book also includes the traditional approach for transmission line protection along with issues and challenges in protection philosophy. It highlights the issues for sheltering power grid from unwanted hazards with very fundamental approach. The book follows a step-by-step approach for resolving critical issues like high impedance faults, power swing detection and auto-reclosing schemes with adaptive protection process. The book also covers the topic of hardware solution for real-time implementation of auto-reclosing scheme for transmission line protection schemes along with comparative analysis with the recently developed analytical approach such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and other machine learning algorithms. It will be useful to researchers and industry professionals and students in the fields of power system protection.
This book presents the state-of-the-art approach for transmission line protection schemes for smart power grid. It provides a comprehensive solution for real-time development of numerical relaying schemes for future power grids which can minimize cascade tripping and widespread blackout problems prevailing all around the world. The book also includes the traditional approach for transmission line protection along with issues and challenges in protection philosophy. It highlights the issues for sheltering power grid from unwanted hazards with very fundamental approach. The book follows a step-by-step approach for resolving critical issues like high impedance faults, power swing detection and auto-reclosing schemes with adaptive protection process. The book also covers the topic of hardware solution for real-time implementation of auto-reclosing scheme for transmission line protection schemes along with comparative analysis with the recently developed analytical approach such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and other machine learning algorithms. It will be useful to researchers and industry professionals and students in the fields of power system protection.
Dr Ujjaval Patel is working as Assistant Professor in the Department of Electrical Engineering at Adani Institute of Infrastructure Engineering since January 2019. He completed his B.E. in Electrical Engineering from L D College of Engineering, Ahmedabad, and M.E. in Electrical Engineering from Maharaja Sayajirao University, Vadodara, with specialization in Microprocessor Systems and applications. He received his PhD from Charusat University, Anand. He has 15 years' experience in academia and 3 years' experience in industry. He is Life member of Indian Society of Technical Education (ISTE), Member of Institution of Engineers (India) and Institute For Engineering Research Publications (IFERP). Dr. Ujjaval Patel has presented several research papers in IEEE sponsored international conferences. He has also published many research papers in many peer reviewed international journals. He is also working as reviewer of several peer reviewed national and international journals like IEEE transaction on power delivery, Electric Power Components & Systems, IET Science Measurement & Technology and many more. In pace with ongoing developing technologies, his research interest includes digital protections of power systems along with applications of Internet of Things (IoT) for Home and Industrial automations for growth of society.
Dr. Praghnesh Bhatt is presently working as Associate Professor and Head in Department of Electrical Engineering, School of Technology of Pandit Deendayal Petroleum University (PDPU), Gandhinagar. He completed his B.E. in Electrical Engineering from L D College of Engineering, Ahmedabad, and M.E. in Electrical Engineering from BVM Engineering College, Vallabh Vidhyanagar, with specialization in Electrical Power Systems. He received his PhD from S V National Institute of Technology (SVNIT), Surat. He has about 15 years of teaching experience at UG and PG level. He successfully guided 4 PhD research scholars and other 5 are pursuing their research under his supervision. He has published more than 50 research papers in globally reputed international journals and conferences. He is a member of IEEE and IEEE Power & Energy Society. He is also a life member of Indian Society of Technical Education (ISTE). He delivered many expert talks at international/national conferences/workshops/faculty training programs and also acted as session chair in national/international conferences. He has been awarded research funding projects from Royal Academy of Engineering (UK), AICTE and GUJCOST. He travelled to UK, Denmark and Hong Kong for academic and research works. He is a reviewer of international journals such as IEEE Transactions on Power System, IET GTD, IJEPES, Applied Energy, Electrical Power Components & Systems and Canadian Journal of Electric and Computer Engineering and more than 15 international conferences.
Dr. Nilesh Chothani is an Associate Professor in the Department of Electrical Engineering at A. D. Patel Institute of Technology, Gujarat. He received B.E. degree from Saurashtra University, Rajkot, Gujarat, in 2001. He received Master degree in power system and the PhD degree in electric engineering from the Sardar Patel University, Vallabh Vidyanagar Gujarat, India, in 2004 and 2013, respectively. He has more than a decade of teaching experience. Dr Chothani has published several papers in reputed international journals and conferences. Two of his papers are awarded with work of excellence in IEEE conference. His areas of interest include digital protection, power system modeling & simulation, and artificial intelligence techniques. He has developed state of the art power system protection laboratory including real time operation of digital/numerical relaying scheme at A. D. Patel Institute of Technology. He also received a research grant funded by Department of Science and Technology, SERB, New Delhi, Government of India.
This book presents the state-of-the-art approach for transmission line protection schemes for smart power grid. It provides a comprehensive solution for real-time development of numerical relaying schemes for future power grids which can minimize cascade tripping and widespread blackout problems prevailing all around the world. The book also includes the traditional approach for transmission line protection along with issues and challenges in protection philosophy. It highlights the issues for sheltering power grid from unwanted hazards with very fundamental approach. The book follows a step-by-step approach for resolving critical issues like high impedance faults, power swing detection and auto-reclosing schemes with adaptive protection process. The book also covers the topic of hardware solution for real-time implementation of auto-reclosing scheme for transmission line protection schemes along with comparative analysis with the recently developed analytical approach such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and other machine learning algorithms. It will be useful to researchers and industry professionals and students in the fields of power system protection.
| Erscheint lt. Verlag | 17.10.2020 |
|---|---|
| Reihe/Serie | Energy Systems in Electrical Engineering |
| Sprache | englisch |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Adaptive Numerical Relaying • Auto-reclosing • Modified Full Cycle Discrete Fourier Transform • Phasor Estimation • Power Swing • transmission line protection |
| ISBN-10 | 981-15-8465-6 / 9811584656 |
| ISBN-13 | 978-981-15-8465-7 / 9789811584657 |
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